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• W2323824739 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2011Adaptive optimal‐kernel time‐frequency representation and its application in characterizing seismic attenuationAuthors: Xiaokai WangJinghuai GaoWenchao ChenJin XuWei ZhaoXiudi JiangXiaokai WangXi'an Jiaotong UniversitySearch for more papers by this author, Jinghuai GaoXi'an Jiaotong UniversitySearch for more papers by this author, Wenchao ChenXi'an Jiaotong UniversitySearch for more papers by this author, Jin XuXi'an Jiaotong UniversitySearch for more papers by this author, Wei ZhaoChina National Offshore Oil Corporation Research CenterSearch for more papers by this author, and Xiudi JiangChina National Offshore Oil Corporation Research CenterSearch for more papers by this authorhttps://doi.org/10.1190/1.3627384 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract The main task of Cohen class's distribution is finding suitable kernel function to reduce the cross‐term interference. We focus on adaptive optimal‐kernel time‐frequency representation which adapts its kernel function with time, and the cross‐term interference can be greatly reduced while the time‐frequency resolution can be effectively kept. We conduct the method on multi‐component synthetic signal and compare time‐frequency resolution with short‐time Fourier transform and continuous wavelet transform. Then we give the seismic attenuation characterizing method based on adaptive optimal‐kernel time‐frequency representation. The 3D field example reveals our method can characterize seismic attenuation, and the result coincides with drilling results well.Permalink: https://doi.org/10.1190/1.3627384FiguresReferencesRelatedDetailsCited ByInformation Flow from COVID-19 Pandemic to Islamic and Conventional Equities: An ICEEMDAN-Induced Transfer Entropy AnalysisComplexity, Vol. 2021Connectedness of cryptocurrencies and gold returns: Evidence from frequency-dependent quantile regressions17 August 2020 | Cogent Economics & Finance, Vol. 8, No. 1Robust time-frequency analysis of seismic data using general linear chirplet transformYucheng Huang, Xiaodong Zheng, Yanting Duan, and Yi Luan5 April 2018 | GEOPHYSICS, Vol. 83, No. 3Applicability study of difference frequency oil-gas detection technologyXiudi Jiang1 September 2016A combined Wigner-Ville and maximum entropy method for high-resolution time-frequency analysis of seismic dataIbrahim Zoukaneri and Milton J. Porsani5 October 2015 | GEOPHYSICS, Vol. 80, No. 63D seismic attributes for a tight gas sand reservoir characterization of the eastern Sulige gas field, Ordos Basin, ChinaZhiguo Wang, Jinghuai Gao, Daxing Wang, and Qiansheng Wei6 February 2015 | GEOPHYSICS, Vol. 80, No. 2High-resolution time frequency analysis using Wigner-Ville Distribution and the Maximum Entropy Method: Application for gas and hydrates identificationIbrahim M. Zoukaneri and Milton J. Porsani9 January 2014 SEG Technical Program Expanded Abstracts 2011ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2011 Pages: 4424 Publisher:Society of Exploration Geophysicists HistoryPublished: 25 May 2012 CITATION INFORMATION Xiaokai Wang, Jinghuai Gao, Wenchao Chen, Jin Xu, Wei Zhao, and Xiudi Jiang, (2011), Adaptive optimal‐kernel time‐frequency representation and its application in characterizing seismic attenuation, SEG Technical Program Expanded Abstracts : 1046-1051. https://doi.org/10.1190/1.3627384 Plain-Language Summary PDF DownloadLoading ..." @default.
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